Triple
T13238584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Always (1989 film) |
E315218
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Diane Thomas |
E354593
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Diane Thomas | Statement: [Always (1989 film), screenwriter, Diane Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diane Thomas Context triple: [Always (1989 film), screenwriter, Diane Thomas]
-
A.
Diane Thomas
chosen
Diane Thomas was an American screenwriter best known for penning the hit 1984 adventure-romance film "Romancing the Stone."
-
B.
Diane Simmons
Diane Simmons is a fictional Quahog news anchor and recurring character on the animated television series "Family Guy."
-
C.
Diane Williams
Diane Williams is known as the spouse of Mark Williams, a British actor and comedian recognized for roles in "The Fast Show" and the "Harry Potter" film series.
-
D.
Ann Thomas
Ann Thomas is known primarily for her brief marriage to American musician and bandleader Ike Turner.
-
E.
Cheryl Thomas
Cheryl Thomas is a prominent legal scholar and professor at University College London known for her influential research on juries, judicial decision-making, and the justice system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7305c5f8081908bbe19f2a644acc5 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:23 p.m.